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<p>A technique that is functionally equivalent to the oriented smoothing concept and reduces numerical complexity and computational costs by eliminating the smoothness requirement from the iteration process is introduced. Local affine transformations are applied to propagate uniquely computed flow vectors into homogeneous regions and along edges in a single step. The window within which the local affine transformation is performed can adapt to the local structure of the intensity pattern in accordance with the oriented smoothness concept as formulated by H. Nagel (1987).</p>
motion analysis; displacement estimates; adaptive affinities; flow vectors; window; local affine transformation; intensity pattern; oriented smoothness concept; filtering and prediction theory; pattern recognition; picture processing

J. Koenderink, A. Toet and P. Werkhoven, "Displacement Estimates Through Adaptive Affinities," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 658-663, 1990.
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